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Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation


Jan 10, 2023
Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu

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* IEEE Bigdata 2022 

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CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection


Dec 07, 2022
Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie, Ji-Rong Wen

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Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders


Nov 16, 2022
Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen Guo, Philip Yu, Kannan Achan

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* IEEE Bigdata 2022 

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RetroMAE v2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models


Nov 16, 2022
Shitao Xiao, Zheng Liu

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Mitigating Health Disparities in EHR via Deconfounder


Oct 28, 2022
Zheng Liu, Xiaohan Li, Philip Yu

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M3FGM:a node masking and multi-granularity message passing-based federated graph model for spatial-temporal data prediction


Oct 27, 2022
Yuxing Tian, Zheng Liu, Yanwen Qu

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* 5 pages, 2 figures 

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Bi-Phase Enhanced IVFPQ for Time-Efficient Ad-hoc Retrieval


Oct 11, 2022
Peitian Zhang, Zheng Liu

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Large-Scale LiDAR Consistent Mapping using Hierachical LiDAR Bundle Adjustment


Sep 24, 2022
Xiyuan Liu, Zheng Liu, Fanze Kong, Fu Zhang

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* 8 pages, 11 figures 

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Efficient and Consistent Bundle Adjustment on Lidar Point Clouds


Sep 19, 2022
Zheng Liu, Xiyuan Liu, Fu Zhang

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* 30 pages, 15 figures 

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